Research Article Existence of Positive Solution to Second-Order Three-Point BVPs on Time Scales
|
|
- Tiffany Chandler
- 5 years ago
- Views:
Transcription
1 Hindwi Publishing Corportion Boundry Vlue Problems Volume 2009, Article ID , 6 pges doi: /2009/ Reserch Article Existence of Positive Solution to Second-Order hree-point BVPs on ime Scles Jin-Ping Sun Deprtment of Applied Mthemtics, Lnzhou University of echnology, Lnzhou, Gnsu , Chin Correspondence should be ddressed to Jin-Ping Sun, jpsun@lut.cn Received 19 April 2009; Accepted 14 September 2009 Recommended by Knishk Perer We re concerned with the following nonliner second-order three-point boundry vlue problem on time scles x ΔΔ t f t, x t,, b, x 0, x σ 2 b δx η, where, b with <b, η, b nd 0 <δ< σ 2 b / η. A new representtion of Green s function for the corresponding liner boundry vlue problem is obtined nd some existence criteri of t lest one positive solution for the bove nonliner boundry vlue problem re estblished by using the itertive method. Copyright q 2009 Jin-Ping Sun. his is n open ccess rticle distributed under the Cretive Commons Attribution License, which permits unrestricted use, distribution, nd reproduction in ny medium, provided the originl work is properly cited. 1. Introduction Let be time scle, tht is, is n rbitrry nonempty closed subset of R. For ech intervl I of R, we define I I. For more detils on time scles, one cn refer to 1 5. Recently, three-point boundry vlue problems BVPs for short for second-order dynmic equtions on time scles hve received much ttention. For exmple, in 2002, Anderson 6 studied the following second-order three-point BVP on time scles: u Δ t t f u t 0, 0,, u 0 0, u αu ( η ), 1.1 where 0,, η 0,ρ nd 0 <α</η. Some existence results of t lest one positive solution nd of t lest three positive solutions were estblished by using the well-known Krsnoselskii nd Leggett-Willims fixed point theorems. In 2003, Kufmnn 7 pplied the Krsnoselskii fixed point theorem to obtin the existence of multiple positive solutions to the BVP 1.1. For some other relted results, one cn refer to 8 10 nd references therein.
2 2 Boundry Vlue Problems In this pper, we re concerned with the existence of t lest one positive solution for the following second-order three-point BVP on time scles: x ΔΔ t f t, x t,, b, ( ) x 0, x σ 2 b δx ( η ). 1.2 hroughout this pper, we lwys ssume tht, b with <b, η, b,nd0<δ< σ 2 b / η. It is interesting tht the method used in this pper is completely different from tht in 6, 7, 9, 10, tht is, new representtion of Green s function for the corresponding liner BVP is obtined nd some existence criteri of t lest one positive solution to the BVP 1.2 re estblished by using the itertive method. For the function f, we impose the following hypotheses: H1 f :, b R R is continuous; H2 for fixed, b, f t, u is monotone incresing on u; H3 there exists q 0, 1 such tht f t, ru r q f t, u for r 0, 1, t, u, b R. 1.3 Remrk 1.1. If H3 is stisfied, then f t, λu λ q f t, u for λ 1,, t, u, b R Min Results Lemm 2.1. he BVP 1.2 is equivlent to the integrl eqution x t K t, s f s, x s Δs,, σ 2 b, 2.1 where δg ( η, s ) K t, s G t, s σ 2 b δ ( ) t η 2.2 is clled the Green s function for the corresponding liner BVP, here 1 t ( σ 2 b σ s ), t s, G t, s σ 2 b σ s ( σ 2 b t ), t σ s 2.3
3 Boundry Vlue Problems 3 is the Green s function for the BVP: x ΔΔ t 0,, b, ( ) x x σ 2 b Proof. Let x be solution of the BVP: x ΔΔ t f t, x t,, b, ( ) x x σ 2 b hen, it is esy to know tht x t G t, s f s, x s Δs, x x ( ) σ 2 b 0., σ 2 b, 2.6 Now, if x is solution of the BVP 1.2, then it cn be expressed by x t C 1 C 2 t x t, 2.7 which together with the boundry conditions in 1.2 nd 2.6 implies tht x t δx ( η ) σ 2 b δ ( η ) t x t K t, s f s, x s Δs,, σ 2 b. 2.8 On the other hnd, if x stisfies 2.1, then it is esy to verify tht x is solution of the BVP 1.2. Lemm 2.2. For ny t, s, σ 2 b, σ b, one hs δg ( η, s ) σ 2 b δ ( δg ( η, s ) ] ) t K t, s 1 η σ 2 b δ ( η ) t. 2.9 Proof. Since it is obvious from the expression of G t, s tht 0 G t, s 1 ( ) σ 2 b t σ 2 b t, t, s, σ 2 b, σ b, 2.10 we know tht 2.9 is fulfilled.
4 4 Boundry Vlue Problems Our min result is the following theorem. heorem 2.3. Assume tht (H1) (H3) re stisfied. hen, the BVP 1.2 hs t lest one positive solution w. Furthermore, there exist M m>0 such tht m t w t M t,, σ 2 b Proof. Let } E x x :, σ 2 b ] R is continuous, } D x E there exist M x m x >0 such tht m x t x t M x t for t, σ 2 b, } P x E x t 0fort, σ 2 b Define n opertor F : D P: Fx t K t, s f s, x s Δs,, σ 2 b hen it is obvious tht fixed points of the opertor F in D re positive solutions of the BVP 1.2. First, in view of H2, it is esy to know tht F : D P is incresing. Next, we my ssert tht F : D D, which implies tht for ny x D, there exist positive constnts l nd L such tht Fx t Lx t, Fx t lx t for x, σ 2 b In fct, for ny x D, there exist 0 <m x < 1 <M x such tht m x t x t M x t for, σ 2 b, 2.15 which together with H2, H3,ndRemrk 1.1 implies tht m x q f t, t f t, x t M x q f t, t for, b By Lemm 2.2 nd 2.16, for ny, σ 2 b, we hve Fx t M x q δg ( η, s ) ] 1 σ 2 b δ ( η ) f s, s Δs t, Fx t m x q δg ( η, s ) σ 2 b δ ( )f s, s Δs t. η 2.17
5 Boundry Vlue Problems 5 If we let M 0 M x q δg ( η, s ) ] 1 σ 2 b δ ( η ) f s, s Δs, m 0 m x q δg ( η, s ) σ 2 b δ ( )f s, s Δs, η 2.18 then it follows from 2.17 nd 2.18 tht m 0 t Fx t M 0 t for, σ 2 b, 2.19 which shows tht Fx D. Now, for ny fixed h 0 D, we denote } l h0 sup l>0 Fh 0 t lh 0 t, t, σ 2 b 2.20 } L h0 inf L>0 Fh 0 t Lh 0 t, t, σ 2 b m min 2, l h 0 1/ 1 q }, M mx 2, L h0 1/ 1 q } 2.22 nd let u n t Fu n 1 t, v n t Fv n 1 t,, σ 2 b,n 1, 2,..., 2.23 where u 0 t mh 0 t, v 0 t Mh 0 t,, σ 2 b hen, it is esy to know from 2.20, 2.21, 2.22, 2.23, 2.24, H3, ndremrk 1.1 tht u 0 t u 1 t u n t v n t v 1 t v 0 t,, σ 2 b Moreover, if we let t 0 m/m, then it follows from 2.22, 2.23, 2.24,nd H3 by induction tht u n t t 0 qn v n t,, σ 2 b, n 0, 1, 2,..., 2.26 which together with 2.25 implies tht for ny positive integers n nd p, 0 u n p t u n t 1 t 0 qn] Mh 0 t,, σ 2 b. 2.27
6 6 Boundry Vlue Problems herefore, there exists w D such tht u n t } n 0 nd v n t } n 0 converge uniformly to w on, σ 2 b nd u n t w t v n t, Since F is incresing, in view of 2.28, we hve, σ 2 b,n 0, 1, 2, u n 1 t Fu n t Fw t Fv n t v n 1 t,, σ 2 b,n 0, 1, 2, So, Fw t w t,, σ 2 b, 2.30 which shows tht w is positive solution of the BVP 1.2. Furthermore, since w D, there exist M m>0 such tht m t w t M t,, σ 2 b Acknowledgment his work is supported by the Ntionl Nturl Science Foundtion of Chin References 1 R. P. Agrwl nd M. Bohner, Bsic clculus on time scles nd some of its pplictions, Results in Mthemtics, vol. 35, no. 1-2, pp. 3 22, M. Bohner nd A. Peterson, Dynmic Equtions on ime Scles: An Introduction with Appliction, Birkhäuser, Boston, Mss, USA, M. Bohner nd A. Peterson, Advnces in Dynmic Equtions on ime Scles, Birkhäuser, Boston, Mss, USA, S. Hilger, Anlysis on mesure chins unified pproch to continuous nd discrete clculus, Results in Mthemtics, vol. 18, no. 1-2, pp , V. Lkshmiknthm, S. Sivsundrm, nd B. Kymkcln, Dynmic Systems on Mesure Chins, vol. 370 of Mthemtics nd Its Applictions, Kluwer Acdemic Publishers, Dordrecht, he Netherlnds, D. R. Anderson, Solutions to second-order three-point problems on time scles, Journl of Difference Equtions nd Applictions, vol. 8, no. 8, pp , E. R. Kufmnn, Positive solutions of three-point boundry-vlue problem on time scle, Electronic Journl of Differentil Equtions, vol. 2003, no. 82, 11 pges, R. A. Khn, J. J. Nieto, nd V. Otero-Espinr, Existence nd pproximtion of solution of three-point boundry vlue problems on time scles, Journl of Difference Equtions nd Applictions, vol. 14, no. 7, pp , H. Luo nd Q. M, Positive solutions to generlized second-order three-point boundry-vlue problem on time scles, Electronic Journl of Differentil Equtions, vol. 2005, no. 17, 14 pges, H.-R. Sun nd W.-. Li, Positive solutions for nonliner three-point boundry vlue problems on time scles, Journl of Mthemticl Anlysis nd Applictions, vol. 299, no. 2, pp , 2004.
Time Scales: From Nabla Calculus to Delta Calculus and Vice Versa via Duality
Interntionl Journl of Difference Equtions ISSN 0973-6069, Volume 5, Number 1, pp. 25 40 (2010) http://cmpus.mst.edu/ijde Time Scles: From Nbl Clculus to Delt Clculus nd Vice Vers vi Dulity M. Cristin Cputo
More informationA Fuzzy Inventory Model With Lot Size Dependent Carrying / Holding Cost
IOSR Journl of Mthemtics (IOSR-JM e-issn: 78-578,p-ISSN: 9-765X, Volume 7, Issue 6 (Sep. - Oct. 0, PP 06-0 www.iosrournls.org A Fuzzy Inventory Model With Lot Size Dependent Crrying / olding Cost P. Prvthi,
More informationPRICING CONVERTIBLE BONDS WITH KNOWN INTEREST RATE. Jong Heon Kim
Kngweon-Kyungki Mth. Jour. 14 2006, No. 2, pp. 185 202 PRICING CONVERTIBLE BONDS WITH KNOWN INTEREST RATE Jong Heon Kim Abstrct. In this pper, using the Blck-Scholes nlysis, we will derive the prtil differentil
More informationJFE Online Appendix: The QUAD Method
JFE Online Appendix: The QUAD Method Prt of the QUAD technique is the use of qudrture for numericl solution of option pricing problems. Andricopoulos et l. (00, 007 use qudrture s the only computtionl
More information(a) by substituting u = x + 10 and applying the result on page 869 on the text, (b) integrating by parts with u = ln(x + 10), dv = dx, v = x, and
Supplementry Questions for HP Chpter 5. Derive the formul ln( + 0) d = ( + 0) ln( + 0) + C in three wys: () by substituting u = + 0 nd pplying the result on pge 869 on the tet, (b) integrting by prts with
More information164 CHAPTER 2. VECTOR FUNCTIONS
164 CHAPTER. VECTOR FUNCTIONS.4 Curvture.4.1 Definitions nd Exmples The notion of curvture mesures how shrply curve bends. We would expect the curvture to be 0 for stright line, to be very smll for curves
More information3: Inventory management
INSE6300 Ji Yun Yu 3: Inventory mngement Concordi Februry 9, 2016 Supply chin mngement is bout mking sequence of decisions over sequence of time steps, fter mking observtions t ech of these time steps.
More informationBehavioural Differential Equations and Coinduction for Binary Trees
Behviourl Differentil Equtions nd Coinduction for Binry Trees Alexndr Silv nd Jn Rutten,2 Centrum voor Wiskunde en Informtic (CWI) 2 Vrije Universiteit Amsterdm (VUA) {ms,jnr}@cwi.nl Abstrct. We study
More informationDo We Really Need Gaussian Filters for Feature Detection? (Supplementary Material)
Do We Relly Need Gussin Filters for Feture Detection? (Supplementry Mteril) Lee-Kng Liu, Stnley H. Chn nd Truong Nguyen Februry 5, 0 This document is supplementry mteril to the pper submitted to EUSIPCO
More informationAddition and Subtraction
Addition nd Subtrction Nme: Dte: Definition: rtionl expression A rtionl expression is n lgebric expression in frction form, with polynomils in the numertor nd denomintor such tht t lest one vrible ppers
More informationYoung differential equations with power type nonlinearities
Avilble online t www.sciencedirect.com ScienceDirect Stochstic Processes nd their Applictions 127 (217) 342 367 www.elsevier.com/locte/sp Young differentil equtions with power type nonlinerities Jorge
More informationChapter 3: The Reinforcement Learning Problem. The Agent'Environment Interface. Getting the Degree of Abstraction Right. The Agent Learns a Policy
Chpter 3: The Reinforcement Lerning Problem The Agent'Environment Interfce Objectives of this chpter: describe the RL problem we will be studying for the reminder of the course present idelized form of
More informationCHAPTER-IV PRE-TEST ESTIMATOR OF REGRESSION COEFFICIENTS: PERFORMANCE UNDER LINEX LOSS FUNCTION
CHAPTER-IV PRE-TEST ESTIMATOR OF REGRESSION COEFFICIENTS: PERFORMANCE UNDER LINEX LOSS FUNCTION 4.1 INTRODUCTION It hs lredy been demonstrted tht the restricted lest squres estimtor is more efficient thn
More informationThe Okun curve is non-linear
Economics Letters 70 (00) 53 57 www.elsevier.com/ locte/ econbse The Okun curve is non-liner Mtti Viren * Deprtment of Economics, 004 University of Turku, Turku, Finlnd Received 5 My 999; ccepted 0 April
More informationRoadmap of This Lecture
Reltionl Model Rodmp of This Lecture Structure of Reltionl Dtbses Fundmentl Reltionl-Algebr-Opertions Additionl Reltionl-Algebr-Opertions Extended Reltionl-Algebr-Opertions Null Vlues Modifiction of the
More informationMATH 236 ELAC MATH DEPARTMENT FALL 2017 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.
MATH 236 ELAC MATH DEPARTMENT FALL 2017 TEST 1 REVIEW SHORT ANSWER. Write the word or phrse tht best completes ech sttement or nswers the question. 1) The supply nd demnd equtions for certin product re
More informationRational Equity Bubbles
ANNALS OF ECONOMICS AND FINANCE 14-2(A), 513 529 (2013) Rtionl Equity Bubbles Ge Zhou * College of Economics, Zhejing University Acdemy of Finncil Reserch, Zhejing University E-mil: flhszh@gmil.com This
More informationOn the Complexity of Computing the Justification Status of an Argument
On the Complexity of Computing the Justifiction Sttus of n Argument dbi Reserch Seminr, Vienn Wolfgng Dvořák Institute of Informtion Systems, Vienn University of Technology Oct 13, 2011 Supported by the
More informationDYNAMIC PROGRAMMING REINFORCEMENT LEARNING. COGS 202 : Week 7 Presentation
DYNAMIC PROGRAMMING REINFORCEMENT LEARNING COGS 202 : Week 7 Preenttion OUTLINE Recp (Stte Vlue nd Action Vlue function) Computtion in MDP Dynmic Progrmming (DP) Policy Evlution Policy Improvement Policy
More informationChapter 2: Relational Model. Chapter 2: Relational Model
Chpter : Reltionl Model Dtbse System Concepts, 5 th Ed. See www.db-book.com for conditions on re-use Chpter : Reltionl Model Structure of Reltionl Dtbses Fundmentl Reltionl-Algebr-Opertions Additionl Reltionl-Algebr-Opertions
More informationCharacterizing Higher-Order Ross More Risk Aversion by Comparison of Risk Compensation
Chrcterizing Higher-Order Ross More Risk Aversion by Comprison of Risk Compenstion Guoqing Tin Yougong Tin b,c Deprtment of Economics, Texs A&M University, College Sttion, TX77843, USA b School of Economics,
More informationProblem Set for Chapter 3: Simple Regression Analysis ECO382 Econometrics Queens College K.Matsuda
Problem Set for Chpter 3 Simple Regression Anlysis ECO382 Econometrics Queens College K.Mtsud Excel Assignments You re required to hnd in these Excel Assignments by the due Mtsud specifies. Legibility
More informationUSE OF MATHEMATICAL EXPRESSIONS CHALLENGES IN ECONOMICS CLASSROOMS. Ashita Raveendran, Lecturer, DESSH, NCERT, New Delhi
USE OF MATHEMATICAL EXPRESSIONS CHALLENGES IN ECONOMICS CLASSROOMS Ashit Rveendrn, Lecturer, DESSH, NCERT, New Delhi Mthemtics definition s Science of order (White hed (1929)) points on to its fetures
More informationThe Combinatorial Seller s Bid Double Auction: An Asymptotically Efficient Market Mechanism*
The Combintoril Seller s Bid Double Auction: An Asymptoticlly Efficient Mret Mechnism* Rhul Jin IBM Wtson Reserch Hwthorne, NY rhul.jin@us.ibm.com Prvin Vriy EECS Deprtment University of Cliforni, Bereley
More informationA Closer Look at Bond Risk: Duration
W E B E X T E S I O 4C A Closer Look t Bond Risk: Durtion This Extension explins how to mnge the risk of bond portfolio using the concept of durtion. BOD RISK In our discussion of bond vlution in Chpter
More informationA Theoretical and FEM. Curved Beams. Investigation. Christian Wylonis. Nathan Thielen ES240
Curved Bems A Theoreticl nd FEM Investigtion Nthn Thielen Christin Wylonis ES240 Wht re Curved Bems? A bem is curved if the line formed by the centroids of ll the cross sections is not stright. http://www.timyoung.net/contrst/imges/chin02.jpg
More informationTopics Covered: Rules of indices Expanding bracketed expressions Factorisation of simple algebraic expressions
Algebr Workshop: Algebr Topics Covered: Rules of indices Expnding brcketed expressions Fctoristion of siple lgebric expressions Powers A power is used when nuber is ultiplied by itself severl ties. For
More informationThe Combinatorial Seller s Bid Double Auction: An Asymptotically Efficient Market Mechanism*
The Combintoril Seller s Bid Double Auction: An Asymptoticlly Efficient Mret Mechnism* Rhul Jin nd Prvin Vriy EECS Deprtment University of Cliforni, Bereley (rjin,vriy)@eecs.bereley.edu We consider the
More informationTHE FINAL PROOF SUPPORTING THE TURNOVER FORMULA.
THE FINAL PROOF SUPPORTING THE TURNOVER FORMULA. I would like to thnk Aris for his mthemticl contriutions nd his swet which hs enled deeper understnding of the turnover formul to emerge. His contriution
More informationAdrian Falkowski. Financial markets modelling by integrals driven by a fractional Brownian motion. Uniwersytet M. Kopernika w Toruniu
Adrin Flkowski Uniwersytet M. Kopernik w Toruniu Finncil mrkets modelling by integrls driven by frctionl Brownin motion Prc semestrln nr 1 semestr letni 11/1 Opiekun prcy: Leszek Słomiński Finncil mrkets
More informationToday s Outline. One More Operation. Priority Queues. New Operation: Merge. Leftist Heaps. Priority Queues. Admin: Priority Queues
Tody s Outline Priority Queues CSE Dt Structures & Algorithms Ruth Anderson Spring 4// Admin: HW # due this Thursdy / t :9pm Printouts due Fridy in lecture. Priority Queues Leftist Heps Skew Heps 4// One
More informationASYMMETRIC SWITCHING COSTS CAN IMPROVE THE PREDICTIVE POWER OF SHY S MODEL
Document de trvil 2012-14 / April 2012 ASYMMETRIC SWITCHIG COSTS CA IMPROVE THE PREDICTIVE POWER OF SHY S MODEL Evens Slies OFCE-Sciences-Po Asymmetric switching costs cn improve the predictive power of
More information1 Manipulation for binary voters
STAT 206A: Soil Choie nd Networks Fll 2010 Mnipultion nd GS Theorem Otoer 21 Leturer: Elhnn Mossel Srie: Kristen Woyh In this leture we over mnipultion y single voter: whether single voter n lie out his
More informationCH 71 COMPLETING THE SQUARE INTRODUCTION FACTORING PERFECT SQUARE TRINOMIALS
CH 7 COMPLETING THE SQUARE INTRODUCTION I t s now time to py our dues regrding the Qudrtic Formul. Wht, you my sk, does this men? It mens tht the formul ws merely given to you once or twice in this course,
More informationAsymptotic Stability of a Rate Control System. with Communication Delays
Asymptotic Stbility of Rte Control System with Communiction Delys Richrd J. L nd Priy Rnjn University of Mrylnd, College Prk {hyongl, priy}@eng.umd.edu 1 Abstrct We study the issue of symptotic stbility
More informationOutline. CSE 326: Data Structures. Priority Queues Leftist Heaps & Skew Heaps. Announcements. New Heap Operation: Merge
CSE 26: Dt Structures Priority Queues Leftist Heps & Skew Heps Outline Announcements Leftist Heps & Skew Heps Reding: Weiss, Ch. 6 Hl Perkins Spring 2 Lectures 6 & 4//2 4//2 2 Announcements Written HW
More informationUNIVERSITY OF NOTTINGHAM. Discussion Papers in Economics BERTRAND VS. COURNOT COMPETITION IN ASYMMETRIC DUOPOLY: THE ROLE OF LICENSING
UNIVERSITY OF NOTTINGHAM Discussion Ppers in Economics Discussion Pper No. 0/0 BERTRAND VS. COURNOT COMPETITION IN ASYMMETRIC DUOPOLY: THE ROLE OF LICENSING by Arijit Mukherjee April 00 DP 0/0 ISSN 160-48
More informationBuckling of Stiffened Panels 1 overall buckling vs plate buckling PCCB Panel Collapse Combined Buckling
Buckling of Stiffened Pnels overll uckling vs plte uckling PCCB Pnel Collpse Comined Buckling Vrious estimtes hve een developed to determine the minimum size stiffener to insure the plte uckles while the
More informationUNIT 7 SINGLE SAMPLING PLANS
UNIT 7 SINGLE SAMPLING PLANS Structure 7. Introduction Objectives 7. Single Smpling Pln 7.3 Operting Chrcteristics (OC) Curve 7.4 Producer s Risk nd Consumer s Risk 7.5 Averge Outgoing Qulity (AOQ) 7.6
More informationOption exercise with temptation
Economic Theory 2008) 34: 473 501 DOI 10.1007/s00199-006-0194-3 RESEARCH ARTICLE Jinjun Mio Option exercise with tempttion Received: 25 Jnury 2006 / Revised: 5 December 2006 / Published online: 10 Jnury
More information2x2x2 Heckscher-Ohlin-Samuelson (H-O-S) Model with no factor substitution
2x2x2 Heckscher-Ohlin-Smuelson (H-O-S) odel with no fctor substitution In the H-O-S model we will focus entirely on the role of fctor sulies nd ssume wy differences in technology. Therefore, unlike in
More informationEffects of Entry Restriction on Free Entry General Competitive Equilibrium. Mitsuo Takase
CAES Working Pper Series Effects of Entry Restriction on Free Entry Generl Competitive Euilirium Mitsuo Tkse Fculty of Economics Fukuok University WP-2018-006 Center for Advnced Economic Study Fukuok University
More informationc 2010 Society for Industrial and Applied Mathematics
SIAM J. MATRIX ANAL. APPL. Vol. 3, No. 5, pp. 580 60 c 00 Society for Industril nd Applied Mthemtics THE CONDITION METRIC IN THE SPACE O RECTANGULAR ULL RANK MATRICES PAOLA BOITO AND JEAN-PIERRE DEDIEU
More informationMARKET POWER AND MISREPRESENTATION
MARKET POWER AND MISREPRESENTATION MICROECONOMICS Principles nd Anlysis Frnk Cowell Note: the detil in slides mrked * cn only e seen if you run the slideshow July 2017 1 Introduction Presenttion concerns
More informationMath F412: Homework 4 Solutions February 20, κ I = s α κ α
All prts of this homework to be completed in Mple should be done in single worksheet. You cn submit either the worksheet by emil or printout of it with your homework. 1. Opre 1.4.1 Let α be not-necessrily
More informationDouble sampling plan for Truncated Life test based on Kumaraswamy-Log-Logistic Distribution
IOSR Journl of Mthemtics (IOSR-JM) e-issn: 2278-5728,-ISSN: 239-765X, Volume 7, Issue 4 (Jul. - Aug. 203), PP 29-37 Double smling ln for Truncted Life test bsed on Kumrswmy-Log-Logistic Distribution Dr.
More informationGet Solution of These Packages & Learn by Video Tutorials on KEY CONCEPTS
FREE Downlod Study Pckge from wesite: www.tekoclsses.com & www.mthsbysuhg.com Get Solution of These Pckges & Lern y Video Tutorils on www.mthsbysuhg.com KEY CONCEPTS THINGS TO REMEMBER :. The re ounded
More informationCache CPI and DFAs and NFAs. CS230 Tutorial 10
Cche CPI nd DFAs nd NFAs CS230 Tutoril 10 Multi-Level Cche: Clculting CPI When memory ccess is ttempted, wht re the possible results? ccess miss miss CPU L1 Cche L2 Cche Memory L1 cche hit L2 cche hit
More informationFractal Analysis on the Stock Price of C to C Electronic Commerce Enterprise Ming Chen
6th Interntionl Conference on Electronic, Mechnicl, Informtion nd Mngement (EMIM 2016) Frctl Anlysis on the Stock Price of C to C Electronic Commerce Enterprise Ming Chen Soochow University, Suzhou, Chin
More informationChapter 4. Profit and Bayesian Optimality
Chpter 4 Profit nd Byesin Optimlity In this chpter we consider the objective of profit. The objective of profit mximiztion dds significnt new chllenge over the previously considered objective of socil
More informationA Sharper Ratio: A General Measure for Correctly Ranking Non-Normal Investment Risks
A Shrper Rtio: A Generl Mesure for Correctly Rnking on-orml Investment Risks Kent Smetters Xingtn Zhng This Version: Februry 3, 2014 Abstrct While the Shrpe rtio is still the dominnt mesure for rnking
More informationBequest motives and fertility decisions B
Economics Letters 92 (2006) 348 352 www.elsevier.com/locte/econbse Bequest motives nd fertility decisions B Ritsuko Futgmi, Kimiyoshi Kmd b, *, Tkshi Sto c Deprtment of Mngement Informtion Systems, Chubu
More informationArithmetic and Geometric Sequences
Arithmetic nd Geometric Sequences A sequence is list of numbers or objects, clled terms, in certin order. In n rithmetic sequence, the difference between one term nd the next is lwys the sme. This difference
More information3. Argumentation Frameworks
3. Argumenttion Frmeworks Argumenttion current hot topic in AI. Historiclly more recent thn other pproches discussed here. Bsic ide: to construct cceptble set(s) of beliefs from given KB: 1 construct rguments
More informationSynchronizing Asynchronous IOCO
Synchronizing Asynchronous IOCO Ned Noroozi 1,2, Rmtin Khosrvi 3, MohmmdRez Mousvi 1, nd Tim Willemse 1 1 Eindhoven University of Technology, Eindhoven, The Netherlnds 2 Fnp Corportion (IT Subsidiry of
More informationNBER WORKING PAPER SERIES A SHARPER RATIO: A GENERAL MEASURE FOR CORRECTLY RANKING NON-NORMAL INVESTMENT RISKS. Kent Smetters Xingtan Zhang
BER WORKIG PAPER SERIES A SHARPER RATIO: A GEERAL MEASURE FOR CORRECTLY RAKIG O-ORMAL IVESTMET RISKS Kent Smetters Xingtn Zhng Working Pper 19500 http://www.nber.org/ppers/w19500 ATIOAL BUREAU OF ECOOMIC
More informationReal Exchange Rate and Economic Growth -- A Theoretical Re-examination of the Balassa Hypothesis
Rel Exchnge Rte nd Econoic Growth -- Theoreticl Re-exintion of the Blss Hypothesis Yunf Zhu* din. McFrlne bstrct We forulte odel with three sectors nd two countries linked by interntionl trde in generl
More informationControlling a population of identical MDP
Controlling popultion of identicl MDP Nthlie Bertrnd Inri Rennes ongoing work with Miheer Dewskr (CMI), Blise Genest (IRISA) nd Hugo Gimert (LBRI) Trends nd Chllenges in Quntittive Verifiction Mysore,
More informationChapter55. Algebraic expansion and simplification
Chpter55 Algebric expnsion nd simplifiction Contents: A The distributive lw B The product ( + b)(c + d) C Difference of two squres D Perfect squres expnsion E Further expnsion F The binomil expnsion 88
More informationInternational Monopoly under Uncertainty
Interntionl Monopoly under Uncertinty Henry Ary University of Grnd Astrct A domestic monopolistic firm hs the option to service foreign mrket through export or y setting up plnt in the host country under
More informationOptimal incentive contracts under loss aversion and inequity aversion
Fuzzy Optim Decis Mking https://doi.org/10.1007/s10700-018-9288-1 Optiml incentive contrcts under loss version nd inequity version Chi Zhou 1 Jin Peng 2 Zhibing Liu 2 Binwei Dong 3 Springer Science+Business
More informationWhat is Monte Carlo Simulation? Monte Carlo Simulation
Wht is Monte Crlo Simultion? Monte Crlo methods re widely used clss of computtionl lgorithms for simulting the ehvior of vrious physicl nd mthemticl systems, nd for other computtions. Monte Crlo lgorithm
More informationA portfolio approach to the optimal funding of pensions
Economics Letters 69 (000) 01 06 www.elsevier.com/ locte/ econbse A portfolio pproch to the optiml funding of pensions Jysri Dutt, Sndeep Kpur *, J. Michel Orszg b, b Fculty of Economics University of
More informationUtilitarian Preference for Equality: The Case Against Max-Min
Utilitrin Preference for Equlity: The Cse Aginst Mx-Min George A. Wters Deprtment of Economics Cmpus Box 4200 Illinois Stte University Norml, IL 61761-4200 April 15, 2014 Abstrct This pperstudies n optimlliner
More informationOn Moments of Folded and Truncated Multivariate Normal Distributions
On Moments of Folded nd Truncted Multivrite Norml Distributions Rymond Kn Rotmn School of Mngement, University of Toronto 05 St. George Street, Toronto, Ontrio M5S 3E6, Cnd (E-mil: kn@chss.utoronto.c)
More informationPSAKUIJIR Vol. 4 No. 2 (July-December 2015)
Resonble Concession Period for Build Operte Trnsfer Contrct Projects: A Cse Study of Theun-Hiboun Hydropower Dm Project nd Ntionl Rod No. 14 A Project Pnysith Vorsing * nd Dr.Sounthone Phommsone ** Abstrct
More informationReinforcement Learning. CS 188: Artificial Intelligence Fall Grid World. Markov Decision Processes. What is Markov about MDPs?
CS 188: Artificil Intelligence Fll 2010 Lecture 9: MDP 9/2/2010 Reinforcement Lerning [DEMOS] Bic ide: Receive feedbck in the form of rewrd Agent utility i defined by the rewrd function Mut (lern to) ct
More informationChoice of strategic variables under relative profit maximization in asymmetric oligopoly
Economics nd Business Letters () 5-6 04 Choice of strtegic vriles under reltive profit mximiztion in symmetric oligopoly Atsuhiro Stoh Ysuhito Tnk * Fculty of Economics Doshish University Kyoto Jpn Received:
More informationName Date. Find the LCM of the numbers using the two methods shown above.
Lest Common Multiple Multiples tht re shred by two or more numbers re clled common multiples. The lest of the common multiples is clled the lest common multiple (LCM). There re severl different wys to
More informationEuropean Treaty Series - No. 124 EUROPEAN CONVENTION ON THE RECOGNITION OF THE LEGAL PERSONALITY OF INTERNATIONAL NON-GOVERNMENTAL ORGANISATIONS
Europen Trety Series - No. 124 EUROPEAN CONVENTION ON THE RECOGNITION OF THE LEGAL PERSONALITY OF INTERNATIONAL NON-GOVERNMENTAL ORGANISATIONS Strsourg, 24.IV.1986 2 ETS 124 Legl personlity of NGOs, 24.IV.1986
More informationNewly Defined Conformable Derivatives
Advnce in Dynmicl Sytem nd Appliction ISSN 973-5321, Volume 1, Number 2, pp. 19 137 (215 http://cmpu.mt.edu/d Newly Defined Conformble Derivtive Dougl R. Anderon Deprtment of Mthemtic Concordi College
More informationA ppendix to. I soquants. Producing at Least Cost. Chapter
A ppendix to Chpter 0 Producing t est Cost This ppendix descries set of useful tools for studying firm s long-run production nd costs. The tools re isoqunts nd isocost lines. I soqunts FIGURE A0. SHOWS
More informationOpen Space Allocation and Travel Costs
Open Spce Alloction nd Trvel Costs By Kent Kovcs Deprtment of Agriculturl nd Resource Economics University of Cliforni, Dvis kovcs@priml.ucdvis.edu Pper prepred for presenttion t the Americn Agriculturl
More informationPDE approach to valuation and hedging of credit derivatives
Quntittive Finnce, Vol. 5, No. 3, June 5, 57 7 PDE pproch to vlution nd hedging of credit derivtives TOMASZ R. BIELECKIy, MONIQUE JEANBLANC*z nd MAREK RUTKOWSKI ô ydeprtment of Applied Mthemtics, Illinois
More informationA Static Model for Voting on Social Security
A Sttic Model for Voting on Socil Security Henning Bohn Deprtment of Economics University of Cliforni t Snt Brbr Snt Brbr, CA 93106, USA; nd CESifo Phone: 1-805-893-4532; Fx: 1-805-893-8830. E-mil: bohn@econ.ucsb.edu
More information3-D Coordinate Transformations Jack L. Lancaster, Ph.D. Research Imaging Institute University of Texas Health Science Center at San Antonio.
3-D Coordte Trnsformtions Jck L. Lncster Ph.D. Reserch Imgg Institute Universit of Texs Helth Science Center t Sn Antonio. Bckground. It is common prctice to use 9-prmeter ffe trnsforms to rotte trnslte
More informationProblem Set 4 - Solutions. Suppose when Russia opens to trade, it imports automobiles, a capital-intensive good.
roblem Set 4 - Solutions uestion Suppose when ussi opens to trde, it imports utomobiles, cpitl-intensive good. ) According to the Heckscher-Ohlin theorem, is ussi cpitl bundnt or lbor bundnt? Briefly explin.
More informationOptimal Cost Sharing Protocols for Scheduling Games
Optiml Cost Shring Protocols for Scheduling Gmes Philipp von Flkenhusen Berlin Institute of Technology Institute of Mthemtics p.flkenhusen@gmil.com Tobis Hrks Berlin Institute of Technology Institute of
More informationSmart Investment Strategies
Smrt Investment Strtegies Risk-Rewrd Rewrd Strtegy Quntifying Greed How to mke good Portfolio? Entrnce-Exit Exit Strtegy: When to buy? When to sell? 2 Risk vs.. Rewrd Strtegy here is certin mount of risk
More information3/1/2016. Intermediate Microeconomics W3211. Lecture 7: The Endowment Economy. Today s Aims. The Story So Far. An Endowment Economy.
1 Intermedite Microeconomics W3211 Lecture 7: The Endowment Economy Introduction Columbi University, Spring 2016 Mrk Den: mrk.den@columbi.edu 2 The Story So Fr. 3 Tody s Aims 4 Remember: the course hd
More informationFirst version: September 1997 This version: October On the Relevance of Modeling Volatility for Pricing Purposes
First version: September 1997 This version: October 1999 On the Relevnce of Modeling Voltility for Pricing Purposes Abstrct: Mnuel Moreno 3 Deprtment of Economics nd Business Universitt Pompeu Fbr Crrer
More informationNonparametric Option Pricing with No-arbitrage Constraints
Nonprmetric Option Pricing with No-rbitrge Constrints Melnie Birke Ruhr-Universität Bochum Fkultät für Mthemtik 4478 Bochum, Germny e-mil: melnie.birke@rub.de Ky F. Pilz Sl. Oppenheim jr. & Cie. KGA Trding
More informationBurrows-Wheeler Transform and FM Index
Burrows-Wheeler Trnsform nd M Index Ben ngmed You re free to use these slides. If you do, plese sign the guestbook (www.lngmed-lb.org/teching-mterils), or emil me (ben.lngmed@gmil.com) nd tell me briefly
More informationPillar 3 Quantitative Disclosure
Pillr 3 Quntittive Disclosure In complince with the requirements under Bsel Pillr 3 nd the Monetry Authority of Singpore (MAS) Notice 637 Public Disclosure, vrious dditionl quntittive nd qulittive disclosures
More informationInsurance trends in Asia. Clarence Wong, Chief Economist Asia Pacific 11 April 2011 Hong Kong
Insurnce trends in Asi Clrence Wong, Chief Economist Asi Pcific 11 April 2011 Hong Kong Asi's insurnce mrket outlook nd drivers 2 Asi is now significnt prt of the globl primry insurnce mrket Premiums,
More informationINF 4130 Exercise set 4
INF 4130 Exercise set 4 Exercise 1 List the order in which we extrct the nodes from the Live Set queue when we do redth first serch of the following grph (tree) with the Live Set implemented s LIFO queue.
More informationOptimal firm's policy under lead time- and price-dependent demand: interest of customers rejection policy
Optiml firm's policy under led time- nd price-dependent demnd: interest of customers rejection policy Abduh Syid Albn Université Grenoble Alpes, G-SCOP, F-38000 Grenoble, Frnce bduh-syid.lbn@grenoble-inp.org
More informationA Notes on Partial Fraction
See iscussions, stts, n utho pofiles fo this publiction t: https://www.esechgte.net/publiction/388535 A Notes on Ptil Fction Metho August 07 DOI: 0.340/RG...66.49 CITATIONS 0 utho: Anku Knujiy Inin Institute
More information"Multilateralism, Regionalism, and the Sustainability of 'Natural' Trading Blocs"
"Multilterlism, Regionlism, nd the Sustinility of 'Nturl' Trding Blocs" y Eric Bond Deprtment of Economics Penn Stte June, 1999 Astrct: This pper compres the mximum level of world welfre ttinle in n incentive
More informationPillar 3 Quantitative Disclosure
Pillr 3 Quntittive Disclosure In complince with the requirements under Bsel Pillr 3 nd the Monetry Authority of Singpore (MAS) Notice 637 Public Disclosure, vrious dditionl quntittive nd qulittive disclosures
More informationACHIEVING ALARP WITH SAFETY INSTRUMENTED SYSTEMS
ACHIEVING ALARP WITH SAFETY INSTRUMENTED SYSTEMS C.R. Timms, MIEE, United Kingdom, Tel: + 44 (0) 9 88668, Emil: c.timms@ifb.co.uk Keywords: ALARP, hzrds, risk, sfety, SIS. Abstrct This pper sets out methodology
More informationDatabase System Concepts, 5 th Ed. Silberschatz, Korth and Sudarshan See for conditions on re-use
Chpter 2: Reltionl Model Dtbse System Concepts, 5 th Ed. See www.db-book.com for conditions on re-use Bnking Exmple brnch (brnch_nme, brnch_city, ssets) customer (customer_nme, customer_street, customer_city)
More informationarxiv: v3 [q-fin.rm] 29 Jan 2018
Optimizing S-shped utility nd implictions for risk mngement rxiv:1711.00443v3 [q-fin.rm] 29 Jn 2018 John Armstrong Dept. of Mthemtics King s College London john.1.rmstrong@kcl.c.uk Dmino Brigo Dept. of
More informationT4.3 - Inverse of Matrices & Determinants
() Review T. - nverse of Mtries & Determinnts B Mth SL - Sntowski - t this stge of stuying mtries, we know how to, subtrt n multiply mtries i.e. if Then evlute: () + B (b) - () B () B (e) B n B (B) Review
More informationA projection of China s health expenditures from today to 2050
A projection of Chin s helth expenditures from tody to 2050 Yinhe Li Mster thesis Institute of Helth Mngement nd Helth Economics UNIVERSITY OF OSLO My 15 th 2008 2 Tble of Contents 1. INTRODUCTION... 5
More informationarxiv:math/ v1 [math.pr] 18 Jan 2005
rxiv:mth/0501268v1 [mth.pr] 18 Jn 2005 Smll bll probbility estimtes in terms of width Rf l Lt l nd Krzysztof Oleszkiewicz Abstrct A certin inequlity conjectured by Vershynin is studied. It is proved thtfornysymmetricconvexbodyk
More informationAn Adaptive Nonlinear Function Controlled by Kurtosis for Blind Source Separation
An Adptive Nonliner Function Controlled b Kurtosis for Blind Source Seprtion Kenji NAKAYAMA Akihiro HIRANO Tkuki SAKAI Dept of Informtion nd Sstems Eng., Fcult of Eng., Knzw Univ. 2 2 Kodtsuno, Knzw, 92
More informationAnnouncements. CS 188: Artificial Intelligence Fall Reinforcement Learning. Markov Decision Processes. Example Optimal Policies.
CS 188: Artificil Intelligence Fll 2008 Lecture 9: MDP 9/25/2008 Announcement Homework olution / review eion: Mondy 9/29, 7-9pm in 2050 Vlley LSB Tuedy 9/0, 6-8pm in 10 Evn Check web for detil Cover W1-2,
More informationWeather Forecast Based Conditional Pest Management: A Stochastic Optimal. 1: Graduate Student, Department of Agricultural
Wether Forecst Bsed Conditionl Pest Mngement: Stochstic Optiml Control Investigtion ing u nd evn Elbkidze : Grdute Student, lu50@vndls.uidho.edu, Deprtment of griculturl Economics nd Rurl Sociology, University
More informationMath 6590 Project IV: Some analysis about the snake model and implementation of the geodesic active contour model
Mth 6590 Project IV: Some nlysis bout the snke model nd implementtion of the geodesic ctive contour model Nme: Li Dong RIN: 66143168 Apr 4, 016 Abstrct This report discusses two clssicl model in imge segmenttion
More information